The pandemic has uncovered the value of AI, lending itself to enhancing tasks related to workforce planning, simulation modeling and demand projection. This will be facilitated by on-demand compute, server-less analytics, elastic separation of compute. The year 2021 will witness the reconfiguring of the cloud by scaling up memory and improving the network bandwidth to facilitate real-time analytics. Experts suggest that, by 2022, cloud services will be essential for 90% of data and analytics innovation. Data and analytics leaders need to prioritise workloads that can exploit cloud capabilities and focus on cost optimisation and other benefits such as change and innovation acceleration when moving to the cloud.

Because of advances in cloud technology and the relative ease of expenditure over the last couple of years, more and more companies are choosing the cloud—whether it’s software-as-a-service or platform-as-a-service, it’s simple in 2021 for an SMB to build a great tech stack without breaking the bank. With costs more affordable than ever, companies are investing in more than just cloud email servers, they’re looking to the cloud to solve other business processes, too. Going forward, to enable a robust remote workforce, organisations will require the agility to adopt new technology. Clouds are going to lead the way. However, security remains at the core of this new technology adoption amidst the new wave of remote workers.


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2021 to deploy AI models on the cloud and integrate with IT systems.